CIO
JANUARY 19, 2024
The exam covers everything from fundamental to advanced data science concepts such as big data best practices, business strategies for data, building cross-organizational support, machine learning, natural language processing, scholastic modeling, and more. It’s a fundamentals exam, so you don’t need extensive experience to pass.
CIO
MAY 30, 2024
You’ll be tested on your knowledge of generative models, neural networks, and advanced machine learning techniques. Cost : Free Microsoft Azure AI Fundamentals: Generative AI The Microsoft Azure AI Fundamentals: Generative AI training is a self-paced learning path to help you get started with generative AI.
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CIO
MAY 13, 2024
IBM is betting big on its toolkit for monitoring generative AI and machine learning models, dubbed watsonx.governance , to take on rivals and position the offering as a top AI governance product, according to a senior executive at IBM. watsonx.governance is a toolkit for governing generative AI and machine learning models.
Mentormate
MAY 31, 2023
In this article, we will discuss how MentorMate and our partner eLumen leveraged natural language processing (NLP) and machine learning (ML) for data-driven decision-making to tame the curriculum beast in higher education. Here, we will primarily focus on drawing insights from structured and unstructured (text) data.
O'Reilly Media - Data
JULY 17, 2018
Although machine learning (ML) can produce fantastic results, using it in practice is complex. Machine learning workflow challenges. MLflow: An open machine learning platform. An overview of the challenges MLflow tackles and a primer on how to get started. algorithm) to see whether it improves results.
Altexsoft
JULY 23, 2020
When speaking of machine learning, we typically discuss data preparation or model building. The fusion of terms “machine learning” and “operations”, MLOps is a set of methods to automate the lifecycle of machine learning algorithms in production — from initial model training to deployment to retraining against new data.
CIO
MAY 5, 2023
The company claims Microsoft Azure’s security, compliance, reliability, and other enterprise-grade capabilities are what enables the company to scale its use of AI to enable the extraction of keywords and “filter out any harmful content in the user reviews.” It’s not the wild west,” he says.
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